Introduction to MTF Compare MTF Compare, a module of Imatest Master,  is a post-processor for comparing the MTFs of different cameras, lenses, and imaging systems after they have been analyzed by SFR or Rescharts Slanted-edge SFR and had results saved in CSV files. Comparisons are displayed as quotients of MTFs, i.e., transfer functions. For two imaging systems A and B, MTF Compare plots MTF(A)/MTF(B) or MTF(B)/MTF(A) along with MTF(A) and MTB(B) (shown as faint lines below). Details depend on the Display setting. Displays ratios or values of MTFnn (spatial frequencies where MTF is nn% of the low frequency value) and […]

Related pages: Compensating camera MTF measurements for chart and sensor MTF –  Introduction – Calculation – MTF compensation files – Applying the compensation – Lens MTF measurements Chart Quality Calculator – determine the suitability of a chart (based on MTF measurements for specific media & print methods) for a specific application   Sharpness assumption  |  Chart suitability display  |  Using the figure  Inkjet matte  |  B&W photo paper |  Color LVT | B&W LVT | MTF suitability calculations Whenever a test chart is used to measure camera MTF (sharpness)— and that includes a large portion of Imatest measurements— we need to know if the chart is good enough to reliably measure MTF. “Good enough” means that chart […]

Note: This page is not quite complete, but we felt that the results are important enough to be presented in its present (nearly complete) state. Method – Results – MTF50 failure – MTF Area Related page: Correcting Misleading Image Quality Measurements: links to an Electronic Imaging paper that compares MTF summary metrics In this page we analyze the consistency of slanted-edge MTF measurements, focusing on the effects of noise and region size on measurement consistency. We describe the test procedure in sufficient detail to enable Imatest users to perform similar studies for themselves. We also discuss some important and recognizable situations where […]

Summary Metric Description Comments MTF50 MTFnn Spatial frequency where MTF is 50% (nn%) of the low (0) frequency MTF. MTF50 (nn = 50) is widely used because it corresponds to bandwidth (the half-power frequency) in electrical engineering. The most common summary metric; correlates well with perceived sharpness. Increases with increasing software sharpening; may be misleading because it “rewards” excessive sharpening, which results in visible and possibly annoying “halos” at edges. MTF50P MTFnnP Spatial frequency where MTF is 50% (nn%) of the peak MTF. Identical to MTF50 for low to moderate software sharpening, but lower than MTF50 when there is a software […]

What MTF50 is Needed for Prints?  Determining MTF50 depends on the print size. If you plan to print large posters (20 × 30 inches or over), the more MTF50, the sharper your prints will appear. Any high-quality, 4+ megapixel digital camera (that is, one that produces good test results; MTF50(corr) > 0.3 cycles/pixel) is capable of producing excellent 8.5 × 11 inches (letter-size; A4) prints. At that size a fine DSLR wouldn’t offer a large advantage in MTF. With fine lenses and careful technique (a different RAW converter from Canon’s and a little extra sharpening), my 6.3-megapixel Canon EOS-10D (corrected […]

Imatest measures MTF using a variety of techniques (see table below), each of which gives different results in imaging systems because image processing depends on local scene content that is rarely constant throughout an image. Sharpening (high frequency boost) tends to be maximum near high-contrast features, while noise reduction (high frequency cut, which can obscure fine texture) tends to be maximum in their absence. For this reason, MTF measurements can be very different with different test charts. In principle, MTF measurements should be the same when no nonuniform or nonlinear image processing is applied (e.g., when the image is demosaiced […]

A key result of the SFR, SFRplus, and eSFR ISO modules If you entered Imatest on this page, you may want to explore the background information in these links.       Sharpness introduces sharpness measurements and MTF.       How to test Lenses with Imatest contains concise instructions on testing lenses            using SFRplus and eSFR ISO.       Image quality factors lists the factors measured by Imatest.       Table of contents (documentation) Imatest SFR, SFRplus and eSFR ISO display Edge profiles and SFR (Spatial frequency response, i.e., MTF) plots with spatial frequency labeled in one of the following units: Cycles per […]

Correlating measurement with appearance Modulation Transfer Function (MTF) is a fundamental measure of imaging system sharpness. It is introduced in Sharpness and discussed further in Sharpening. MTF is measured by Imatest SFR, SFRplus, and by several Rescharts modules. The most frequent questions that arise in sharpness (MTF) testing are “What does the MTF curve mean?” and “How does MTF correlate with image appearance?” In this page we attempt to answer these questions through examples that let you quickly compare images with corresponding MTF curves by clicking on Quick links to the left of each each edge image. Introduction The procedure […]

Introduction to MTF Compare MTF Compare, a module of Imatest Master,  is a post-processor for comparing the MTFs of different cameras, lenses, and imaging systems after they have been analyzed by SFR or Rescharts Slanted-edge SFR and had results saved in CSV files. Comparisons are displayed as quotients of MTFs, i.e., transfer functions. For two imaging systems A and B, MTF Compare plots MTF(A)/MTF(B) or MTF(B)/MTF(A) along with MTF(A) and MTB(B) (shown as faint lines below). Details depend on the Display setting. Displays ratios or values of MTFnn (spatial frequencies where MTF is nn% of the low frequency value) and […]

Compare MTFs of individual edge regions in different cameras and lenses Introduction to MTF Compare MTF Compare (not included in Imatest Studio), is a post-processor for comparing the MTFs of different cameras, lenses, and imaging systems that have been analyzed by SFR, Rescharts Slanted-edge SFR, SFRplus, or eSFR ISO, and had results saved in CSV files. Comparisons are displayed as quotients of MTFs, i.e., transfer functions. For two imaging systems A and B, MTF Compare plots MTF(A)/MTF(B) or MTF(B)/MTF(A) along with MTF(A) and MTB(B) (shown as faint lines below). Details depend on the Display setting. Displays ratios or values of […]

Summary MTF measurements can be compensated for measured chart quality. Chart MTF compensation can double the megapixel suitability of a test chart. Results taken with different test charts will be more consistent. An approximate lens MTF calculation (independent of chart MTF compensation) has been added. It is based on a geometrical model of sensor MTF, which is used because reliable sensor MTF measurements are difficult to obtain. It’s not perfect, but it is good enough for many measurements. A Chart Quality Calculator lets you determine the suitability of a test chart (based on the camera’s Vertical Field of View, vertical […]

Related pages: Compensating camera MTF measurements for chart and sensor MTF –  Introduction – Calculation – MTF compensation files – Applying the compensation – Lens MTF measurements Chart Quality Calculator – determine the suitability of a chart (based on MTF measurements for specific media & print methods) for a specific application   Sharpness assumption  |  Chart suitability display  |  Using the figure  Inkjet matte  |  B&W photo paper |  Color LVT | B&W LVT | MTF suitability calculations Whenever a test chart is used to measure camera MTF (sharpness)— and that includes a large portion of Imatest measurements— we need to know if the chart is good enough to reliably measure MTF. “Good enough” means that chart […]

Note: This page is not quite complete, but we felt that the results are important enough to be presented in its present (nearly complete) state. Method – Results – MTF50 failure – MTF Area Related page: Correcting Misleading Image Quality Measurements: links to an Electronic Imaging paper that compares MTF summary metrics In this page we analyze the consistency of slanted-edge MTF measurements, focusing on the effects of noise and region size on measurement consistency. We describe the test procedure in sufficient detail to enable Imatest users to perform similar studies for themselves. We also discuss some important and recognizable situations where […]

Summary Metric Description Comments MTF50 MTFnn Spatial frequency where MTF is 50% (nn%) of the low (0) frequency MTF. MTF50 (nn = 50) is widely used because it corresponds to bandwidth (the half-power frequency) in electrical engineering. The most common summary metric; correlates well with perceived sharpness. Increases with increasing software sharpening; may be misleading because it “rewards” excessive sharpening, which results in visible and possibly annoying “halos” at edges. MTF50P MTFnnP Spatial frequency where MTF is 50% (nn%) of the peak MTF. Identical to MTF50 for low to moderate software sharpening, but lower than MTF50 when there is a software […]

What MTF50 is Needed for Prints?  Determining MTF50 depends on the print size. If you plan to print large posters (20 × 30 inches or over), the more MTF50, the sharper your prints will appear. Any high-quality, 4+ megapixel digital camera (that is, one that produces good test results; MTF50(corr) > 0.3 cycles/pixel) is capable of producing excellent 8.5 × 11 inches (letter-size; A4) prints. At that size a fine DSLR wouldn’t offer a large advantage in MTF. With fine lenses and careful technique (a different RAW converter from Canon’s and a little extra sharpening), my 6.3-megapixel Canon EOS-10D (corrected […]

Imatest measures MTF using a variety of techniques (see table below), each of which gives different results in imaging systems because image processing depends on local scene content that is rarely constant throughout an image. Sharpening (high frequency boost) tends to be maximum near high-contrast features, while noise reduction (high frequency cut, which can obscure fine texture) tends to be maximum in their absence. For this reason, MTF measurements can be very different with different test charts. In principle, MTF measurements should be the same when no nonuniform or nonlinear image processing is applied (e.g., when the image is demosaiced […]

A key result of the SFR, SFRplus, and eSFR ISO modules If you entered Imatest on this page, you may want to explore the background information in these links.       Sharpness introduces sharpness measurements and MTF.       How to test Lenses with Imatest contains concise instructions on testing lenses            using SFRplus and eSFR ISO.       Image quality factors lists the factors measured by Imatest.       Table of contents (documentation) Imatest SFR, SFRplus and eSFR ISO display Edge profiles and SFR (Spatial frequency response, i.e., MTF) plots with spatial frequency labeled in one of the following units: Cycles per […]

Compare MTFs of individual edge regions in different cameras and lenses Introduction to MTF Compare MTF Compare (not included in Imatest Studio), is a post-processor for comparing the MTFs of different cameras, lenses, and imaging systems that have been analyzed by SFR, Rescharts Slanted-edge SFR, SFRplus, or eSFR ISO, and had results saved in CSV files. Comparisons are displayed as quotients of MTFs, i.e., transfer functions. For two imaging systems A and B, MTF Compare plots MTF(A)/MTF(B) or MTF(B)/MTF(A) along with MTF(A) and MTB(B) (shown as faint lines below). Details depend on the Display setting. Displays ratios or values of […]

Correlating measurement with appearance Modulation Transfer Function (MTF) is a fundamental measure of imaging system sharpness. It is introduced in Sharpness and discussed further in Sharpening. MTF is measured by Imatest SFR, SFRplus, and by several Rescharts modules. The most frequent questions that arise in sharpness (MTF) testing are “What does the MTF curve mean?” and “How does MTF correlate with image appearance?” In this page we attempt to answer these questions through examples that let you quickly compare images with corresponding MTF curves by clicking on Quick links to the left of each each edge image. Introduction The procedure […]

Introduction to MTF Compare MTF Compare, a module of Imatest Master,  is a post-processor for comparing the MTFs of different cameras, lenses, and imaging systems after they have been analyzed by SFR or Rescharts Slanted-edge SFR and had results saved in CSV files. Comparisons are displayed as quotients of MTFs, i.e., transfer functions. For two imaging systems A and B, MTF Compare plots MTF(A)/MTF(B) or MTF(B)/MTF(A) along with MTF(A) and MTB(B) (shown as faint lines below). Details depend on the Display setting. Displays ratios or values of MTFnn (spatial frequencies where MTF is nn% of the low frequency value) and […]